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dc.contributor.authorSelvakumaran, Lakshmi
dc.contributor.authorLubineau, Gilles
dc.date.accessioned2015-08-25T08:01:52Z
dc.date.available2015-08-25T08:01:52Z
dc.date.issued2015-08
dc.identifier.citationValidation of Micro-Meso Electrical Relations for Laminates with Varying Anisotropy 2015, 784:435 Applied Mechanics and Materials
dc.identifier.issn1662-7482
dc.identifier.doi10.4028/www.scientific.net/AMM.784.435
dc.identifier.urihttp://hdl.handle.net/10754/575920
dc.description.abstractFor electrical impedance tomography (EIT) to be useful in monitoring transverse cracks in composites, it is imperative to establish the relation between conductivity and cracking density. Micro to meso scale homogenization has been developed for classical carbon fiber reinforced polymer (CFRP) laminate which provides such a relationship. However, we have shown in previous studies that the detectability of transverse cracks in such CFRP, which are characterized by very anisotropic electrical properties, is poor. Then, it is better to lower the electrical anisotropy, which can be achieved by various technologies including doping the polymeric resin by conductive nanoparticles. However, the validity of mesoscale homogenization for laminates with such low anisotropy has not been tested before. Here, we show that the mesoscale damage indicator is intrinsic for composites with varying anisotropy.
dc.language.isoen
dc.publisherTrans Tech Publications
dc.relation.urlhttp://www.scientific.net/AMM.784.435
dc.rightsArchived with thanks to Applied Mechanics and Materials
dc.subjectElectrical Tomography
dc.subjectMesoscale Homogenization
dc.subjectSensitivity
dc.subjectTransverse Cracking
dc.titleValidation of Micro-Meso Electrical Relations for Laminates with Varying Anisotropy
dc.typeArticle
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Division
dc.contributor.departmentMechanical Engineering Program
dc.contributor.departmentCOHMAS Laboratory
dc.identifier.journalApplied Mechanics and Materials
dc.eprint.versionPost-print
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personLubineau, Gilles
kaust.personSelvakumaran, Lakshmi
refterms.dateFOA2018-06-13T12:15:43Z


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